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Improving the Classification of Multiple Disorders with Problem Decomposition
Published 2020“…Keywords: Classifiers, Abductive Networks, Neural Networks, Problem Decomposition, Divide and Conquer, Classification Accuracy, Data Reduction, Modular Networks, Medical Diagnosis, Multiple Disorders, Dermatology. 2…”
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A Bayesian Approach to Feature Selection in Classification Problems
Published 2024“…A Master of Science thesis in Mathematics by Maher Emarly entitled, “A Bayesian Approach to Feature Selection in Classification Problems”, submitted in July 2024. Thesis advisor is Dr. …”
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On the Use of Deep Learning for Video Classification
Published 2023“…The paper also summarizes the benchmark datasets and the performance evaluation matrices for video classification. Based on the compact, complete, and concise review, the paper proposes new research directions to solve the challenging video classification problem.…”
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Multi-Label Image Classification by Feature Attention Network
Published 2019“…These two problems will impact the bad influence on the classification model. …”
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Intelligent Fusion of Deep Features for Improved Waste Classification
Published 2020“…<p dir="ltr">In this article, we address the problem of an image-based automatic classification of waste materials. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Consequently, scholars have begun to focus on document classification problem, offering various methods to address this issue. …”
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Structure and Complexity of 2-Intersection Graphs of 3-Hypergraphs
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Low-Light Image Enhancement for Object Classification using Deep Learning
Published 2021“…To solve the problem, we propose a new LLI enhancement model that performs image-to-frequency filter learning and is designed for seamless integration into classification models. …”
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FPGA-based Parallel Hardware Architecture for Real-time Object Classification
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Autonomous Vehicles Delivery Systems: Analyzing Vehicle Routing Problems with a Moving Depot
Published 2019Get full text
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XML document-grammar comparison: related problems and applications
Published 2011“…In this paper, we provide an overview on existing research related to XML document/grammar comparison, presenting the background and discussing the various techniques related to the problem. We also discuss some prominent application domains, ranging over document classification and clustering, document transformation, grammar evolution, selective dissemination of XML information, XML querying, as well as alert filtering in intrusion detection systems and Web Services matching and communications.…”
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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
Published 2023“…However, the most common problem with these models is that they need a large amount of data for training. …”
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
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EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach
Published 2023“…To detect the fine-grained reading activities, we adopted a nested classification approach. Initially, we differentiate between reading and not reading and then we employ an additional classification step to discriminate among three distinct types of reading activities. …”
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A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
Published 2024“…In this study, we present RWC-Net (recyclable waste classification network), a novel deep learning model designed for the classification of six distinct waste categories using the TrashNet dataset of 2,527 images of waste. …”
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”
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Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024“…Then, the implementation and the enhanced TLBO were examined and discussed in various areas such as engineering, electrical engineering, technology and science, mechanical design, artificial intelligence, classification problem, healthcare, and economics. Finally, we discussed our perspectives on TLBO's open difficulties and challenges, as well as future areas of research.…”
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